System Build
$15,000 – $40,000 · 4–8 weeks. We build the core system: pipeline architecture, integrations, deployment. Production-ready, on your cloud, documented, with a full handoff.
You know what you need. Maybe you ran an architecture sprint with us. Maybe you’ve been thinking about this system for months. The requirements are clear, the business case is solid, and you’re ready to build. What you don’t have is an engineer who has shipped production AI systems — someone who knows the difference between a demo that impresses in a meeting and infrastructure that runs reliably at 3 AM on a Saturday.
That gap is more expensive than it looks. A generalist developer can wire up an API call to GPT-4 in an afternoon. Getting that same system to handle edge cases, manage token limits, implement retry logic, maintain context across sessions, and degrade gracefully when the model returns garbage — that takes months of hard-won experience that most development teams don’t have.
We build the system your team would build if they had done this ten times before. Every design decision reflects lessons from production deployments — not theoretical best practices. The result is infrastructure that works on day one and keeps working when the load doubles, the model changes, or your requirements evolve.
At the end of the engagement, you own everything. The code. The infrastructure. The documentation. The deployment pipeline. We hand off a system that your team can maintain, extend, and operate independently. No lock-in. No ongoing dependency. A clean transfer of a working system.
Six categories. Production-grade. Fully owned by you.
Multi-stage extraction, consolidation, and generation systems that turn unstructured documents into structured intelligence. OCR, NLP, entity extraction, narrative generation.
Content generation, report writing, personalization engines — systems that produce human-quality output with source attribution, consistency controls, and style matching.
Unified monitoring across cloud providers, security signals, cost tracking, and infrastructure health. Live-streaming evaluation with attention-prioritized alerts.
Multi-dimensional matching algorithms that evaluate complex criteria in real time. Resource allocation, lead scoring, recommendation systems, and optimization engines.
Connecting AI systems to your existing infrastructure: CRMs, ERPs, cloud services, email systems, calendar APIs. Authentication, data sync, webhook orchestration.
Data residency controls, audit logging, PII handling, model governance. For regulated industries where “move fast and break things” is not an option.
Weeks 1–2
We start with the infrastructure: cloud resources, deployment pipeline, database schema, authentication. Then we build the core pipeline — the critical path from input to output. By the end of week two, the fundamental system works. Not a prototype — working infrastructure running on your cloud, processing real data through the primary pipeline.
Weeks 3–6
The build phase is where experience matters most. We connect every data source, handle every document type, implement error recovery, build the monitoring layer, and test against production-scale data. This is not where we discover problems — the architecture sprint already found them. This is where we solve them systematically, one integration at a time.
Final Week
We deploy to production, write the documentation, record the walkthrough, and transfer ownership. Your team gets a system they can maintain and extend without us. The deployment pipeline is automated. The monitoring is live. The runbook covers every failure mode we’ve encountered. If your team has questions after handoff, we’re available — but the goal is independence.
Everything. No lock-in. No dependencies.
Full source code with git history. No obfuscation. No proprietary frameworks. Standard languages, standard libraries.
Running on your cloud account. Your resources, your billing, your control. We never touch it after handoff unless you ask.
Architecture docs, API docs, runbooks, deployment guides. Written for the engineer who maintains this after us.
Automated CI/CD from commit to production. Your team deploys with confidence from day one.
$15,000 – $40,000
4–8 weeks
Complexity determines the range. The architecture sprint provides the exact estimate.
Every system build starts with an architecture sprint. It’s how we scope accurately, derisk effectively, and ensure we’re building exactly what you need. The sprint investment applies to the build — it’s not an additional cost.
30-minute discovery call · No pitch deck